Welcome!
In last couple of years (2015-2020) rental listings in Budapest became YTD more and more expensive, and, due to my curious nature, I wanted to understand why. This project aims to quantify the effects of housing variables (e.g. condition, is it furnished) to the price of the listing in Budapest.
This project is completely written in python, but I also used powerBI for my data vizualizations and I created my own geojson for the data mapping using folium.
- Webscraping
- Change Data Capture
- Loading data to DB2 database
- Data analysis
- data cleaning
- outlier detection & handling
- null handling
- descriptive statistics
- model building
- linear regression
- regularized regression (lasso & ridge)